# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "sparsecommunity" in publications use:' type: software license: GPL-3.0-only title: 'sparsecommunity: Spectral Community Detection for Sparse Networks' version: 0.1.1 doi: 10.32614/CRAN.package.sparsecommunity abstract: Implements spectral clustering algorithms for community detection in sparse networks under the stochastic block model ('SBM') and degree-corrected stochastic block model ('DCSBM'), following the methods of Lei and Rinaldo (2015) . Provides a regularized normalized Laplacian embedding, spherical k-median clustering for 'DCSBM', standard k-means for 'SBM', simulation utilities for both models, and a misclustering rate evaluation metric. Also includes the 'NCAA' college football network of Girvan and Newman (2002) as a benchmark dataset, and the Bethe-Hessian community number estimator of Hwang (2023) . authors: - family-names: Hwang given-names: Neil email: neil.hwang@bcc.cuny.edu orcid: https://orcid.org/0000-0002-5175-9397 repository: https://neil-sps.r-universe.dev commit: 8c100c579a6138f61057bb67ef3a21aa4d125c15 date-released: '2026-04-08' contact: - family-names: Hwang given-names: Neil email: neil.hwang@bcc.cuny.edu orcid: https://orcid.org/0000-0002-5175-9397